Results 31 to 40 of about 109,853 (338)
Hyperspectral Data: Efficient and Secure Transmission [PDF]
Algorithms, 2017 Airborne and spaceborne hyperspectral sensors collect information which is derived from the electromagnetic spectrum of an observed area. Hyperspectral data are used in several studies and they are an important aid in different real-life applications (e.g., mining and geology applications, ecology, surveillance, etc.). A hyperspectral image has a three-
Pizzolante, Raffaele, Carpentieri, Bruno
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Auditory Display of Fluorescence Image Data in an In Vivo Tumor Model
Diagnostics, 2022 Objectives: This research aims to apply an auditory display for tumor imaging using fluorescence data, discuss its feasibility for in vivo tumor evaluation, and check its potential for assisting enhanced cancer perception.
Sheen-Woo Lee +3 more
doaj +1 more source
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery [PDF]
, 2009 This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination of pure endmember spectra following the linear mixing ...
Alfred O. Hero +5 more
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Hyperspectral Data Augmentation
, 2019 Submitted to IEEE Geoscience and Remote Sensing ...
Nalepa, Jakub +2 more
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Power spectral clustering on hyperspectral data [PDF]
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017 Classification of remotely sensed data is an important task for many practical applications. However, it is not always possible to get the ground truth for supervised learning methods. Thus unsupervised methods form a valuable tool in such situations. Such methods are referred to as clustering methods. There exists several strategies for clustering the
Challa, Aditya +3 more
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Remote Sensing, 2017 Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be useful in many agroforestry applications. However, it lacks the spectral range and precision to profile materials and organisms that only hyperspectral sensors can ...
Telmo Adão +6 more
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High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures [PDF]
, 2012 Hyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally ...
Chaowang Liu +9 more
core +1 more source
Submerged Kelp Detection with Hyperspectral Data [PDF]
Remote Sensing, 2016 Submerged marine forests of macroalgae known as kelp are one of the key structures for coastal ecosystems worldwide. These communities are responding to climate driven habitat changes and are therefore appropriate indicators of ecosystem status and health. Hyperspectral remote sensing provides a tool for a spatial kelp habitat mapping.
Florian Uhl +2 more
openaire +3 more sources
MEETNet: Morphology-Edge Enhanced Triple-Cascaded Network for Infrared Small Target Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingInfrared small target detection is focused on accurately identifying tiny targets with low signal-to-noise ratio against complex backgrounds, representing a critical challenge in the field of infrared image processing. Existing approaches frequently fail
Enyu Zhao +4 more
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Fusion of hyperspectral and ground penetrating radar to estimate soil moisture
, 2018 In this contribution, we investigate the potential of hyperspectral data combined with either simulated ground penetrating radar (GPR) or simulated (sensor-like) soil-moisture data to estimate soil moisture. We propose two simulation approaches to extend
Keller, Sina, Riese, Felix M.
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